About this document
Polynomial Regression with Hyperparameter Tuning by 24ds1000025 is a document available to read on EtoBox.
The document provides a comprehensive overview of polynomial regression, including training methods, implementation using sklearn, hyperparameter tuning, and regularization techniques. It outlines steps for setting up polynomial regression models, performing hyperparameter tuning with grid and randomized search, and applying regularization methods like ridge and lasso. Additionally, it emphasizes the importance of model evaluation and cross-validation in the context of regression tasks.
- Author
- 24ds1000025
- Language
- EN